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DML Operations & GIS Command Center
DML Operations & GIS Command Center
I developed this centralized command center to provide real-time visibility into complex logistical operations. It serves as a "single pane of glass" for managing fleet assets and high-value financial metrics.
Key Innovations:
*GIS Integration: Real-time mapping for precise asset tracking.
*Efficiency Analytics: Custom logic for visualizing performance trends.
*Centralized Command: Integrates fleet status and transaction tracking into one unified dashboard.
Turning fragmented data into actionable operational strategy.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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From "Data Dump" to "Decision Engine."
If the dashboard is the heartbeat, the Analytics page is the brain. For Enterprise Jezz, I didn’t want users hunting for insights—I wanted the insights to find them.
When designing for scale, "more charts" isn't the answer. Visual hierarchy is.
For this view, I prioritized:
♣︎. The 4-Pillar Pulse: High-level KPIs (Revenue, Users, Signups, Server Status) at the top for an "at-a-glance" health check.
♣︎. Dual-Axis Storytelling: Combining a high-density Revenue line graph with a Traffic Source donut to show not just what happened, but where it came from.
♣︎. Status-First Tables: Using semantic "Trending," "Stable," and "Beta" tags so product managers can spot outliers in seconds, not minutes.
99.9% Server Status is great, but 100% clarity for the user is the goal. :)
#BuildInPublic #SaaS
Clean and simple
AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results:
✅ Reduced proposal creation from 4-6 hours to under 30 minutes
✅ 90% auto-complete rate on proposal sections
✅ 14+ RFPs processed through the pipeline
✅ Full proposal dashboard with status tracking
Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
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